Difference between revisions of "GPGPU-WG KnowledgeBase Batch Schedulers SchedulerScenarios"
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== Single GPGPU per node == | |||
A simple batch setup that assumes a physical node and its componenent GPGPU card expose a single '''Job Slot''' would simplify Resource Centre setup. Each GPGPU node could be partitioned from the non-GPGPU nodes using an access-control-list. However, most modern physical nodes contain and expose multiple CPU-cores to the batch system. If the physical system supports '''Virtualisation''', a CPU-core could be allocated to the GPU on the phsical node, and a single virtual machine could expose the remainder of the job slots. For example: Assume the physical host (wn1) has 8-cores, we can configure the node to declare (in torque) "np=1" to the batch system. If we create a VM with "np=7", then all cores can be allocated to the batch system. | |||
== Multiple GPGPUs per Physical Node == | |||
Similar to the Virtualisation example above, a physical node with '''N'''-gpgpu cards could be configured with ''np=#NUM_OF_CORES-#NUM_OF_GPGPUS'' |
Revision as of 23:04, 27 February 2014
Single GPGPU per node
A simple batch setup that assumes a physical node and its componenent GPGPU card expose a single Job Slot would simplify Resource Centre setup. Each GPGPU node could be partitioned from the non-GPGPU nodes using an access-control-list. However, most modern physical nodes contain and expose multiple CPU-cores to the batch system. If the physical system supports Virtualisation, a CPU-core could be allocated to the GPU on the phsical node, and a single virtual machine could expose the remainder of the job slots. For example: Assume the physical host (wn1) has 8-cores, we can configure the node to declare (in torque) "np=1" to the batch system. If we create a VM with "np=7", then all cores can be allocated to the batch system.
Multiple GPGPUs per Physical Node
Similar to the Virtualisation example above, a physical node with N-gpgpu cards could be configured with np=#NUM_OF_CORES-#NUM_OF_GPGPUS